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BMCBI
2005
89views more  BMCBI 2005»
13 years 7 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
SIGMETRICS
1998
ACM
13 years 11 months ago
Scheduling Policies to Support Distributed 3D Multimedia Applications
We consider the problem of scheduling tasks with unpredictable service times on distinct processing nodes so as to meet a real-time deadline, given that all communication among no...
Thu D. Nguyen, John Zahorjan
ANSS
1996
IEEE
13 years 11 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
DEBS
2010
ACM
13 years 10 months ago
Workload characterization for operator-based distributed stream processing applications
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...
Xiaolan J. Zhang, Sujay Parekh, Bugra Gedik, Henri...
CBRMD
2008
167views more  CBRMD 2008»
13 years 7 months ago
Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical environments. This is par...
Mobyen Uddin Ahmed, Shahina Begum, Peter Funk, Nin...